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Multi2convai Logistics Tr Bert
This is a Bert model optimized for Turkish, specifically designed for text classification tasks in the logistics domain.
Downloads 119
Release Time : 4/25/2025
Model Overview
Developed by the Multi2ConvAI project, this model focuses on Turkish text classification in the logistics field, utilizing an optimized Bert architecture.
Model Features
Domain Optimization
Specifically optimized for the logistics domain to improve accuracy in related tasks.
Language Support
Focuses on Turkish language processing, providing better localization support.
Efficient Architecture
Based on an optimized Bert architecture, balancing performance and efficiency.
Model Capabilities
Turkish text classification
Logistics domain text understanding
Use Cases
Logistics Customer Service
Parcel Inquiry Classification
Classifies Turkish text inquiries about parcel locations
Accurately identifies customer inquiry intent
Logistics Issue Classification
Automatically classifies Turkish customer inquiries related to logistics
Improves customer service response efficiency
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